Existing work considers entity types and textual context as essential properties for RE [1]}, [2]}, [3]}.
Nonetheless, most existing RE models only capture these properties locally within individual instances, while not globally modeling them from the whole dataset.
Given the insufficient features of a single sentence, it is beneficial to model these properties from the whole dataset and use them to enrich the semantics of individual instances.
